FIND_THE_RIGHTJOB.
Senior AI Applied Scientist
JOB_REQUIREMENTS
Hires in
Not specified
Employment Type
Not specified
Company Location
Not specified
Salary
Not specified
Senior AI Applied Scientist
Redmond, Washington, United States
Date posted
Oct 30, 2025
Job number
1894934
Work site
3 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time
Overview
As a AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experience.
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.
We are looking for an Senior AI Applied Scientist to join our team
This role will combine AI knowledge with applied science expertise and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Bachelor’s degree in computer science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research
- OR Master’s degree AND 3+ years of experience
- OR PhD AND 1+ year of experience
- OR equivalent experience
- 1+ years of experience with generative AI OR LLM/ML algorithms.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).
- Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript.
- Experience with design and implementation of enterprise-scale services.
- 3+ years of experience publishing in peer-reviewed venues or filing patents.
- Experience presenting at conferences or industry events.
- 3+ years of experience conducting research in academic or industry settings .
- 1+ years of experience working with Generative AI models and ML stacks.
- Experience across the product lifecycle from ideation to shipping.
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until November 6, 2025.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until November 6, 2025.
#BICJOBS
Responsibilities
Bringing the State of the Art to Products
Build collaborative relationships with product and business groups to deliver AI-driven impact-
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
-
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs. - Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
Leveraging Research in real-world problems
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.-
Share insights on industry trends and applied technologies with engineering and product teams.
- Formulate strategic plans that integrate state-of-the-art research to meet business goals.
Documentation
Maintain clear documentation of experiments, results, and methodologies.- Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing.
Ethics, Privacy and Security
-
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.
- Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.
Specialty Responsibilities
Design, develop, and integrate generative AI solutions using foundation models and more.-
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems
- Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.
- Embody our culture and values.
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics
Address scalability and performance issues using large-scale computing frameworks.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Similar jobs
Research Scientist - Optical Design (PhD Grad)
Meta
Redmond, United States
5 days ago
Research Engineer
Microsoft
Redmond, United States
5 days ago
Research AI Engineer II
Microsoft
Redmond, United States
5 days ago
Biostatistician - Bilingual Mandarin
Systimmune
Redmond, United States
5 days ago
AI Applied Scientist II
Microsoft
Redmond, United States
5 days ago
AI Applied Scientist
Microsoft
Redmond, United States
5 days ago
Senior Software Engineer - Applied AI
Microsoft
Redmond, United States
11 days ago
© 2025 Qureos. All rights reserved.